Article
Engineering, Environmental
Zhongtian Dong, Fenghe Wang, Mingzhu Xia, Fengyun Wang, Shuaiqi Ning
Summary: In this study, a novel approach utilizing gamma-alumina loaded LaFeO3 perovskite was proposed to activate peroxymonosulfate for the degradation of Butyl-(2-azidoethyl) nitramine preparation wastewater. Response Surface Methodology and artificial neural network were used to optimize the degradation process. The proposed method effectively degrades refractory organic pollutants and improves the biodegradability of the wastewater.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Engineering, Environmental
Shan-Shan Yang, Xin-Lei Yu, Meng-Qi Ding, Lei He, Guang-Li Cao, Lei Zhao, Yu Tao, Ji-Wei Pang, Shun-Wen Bai, Jie Ding, Nan-Qi Ren
Summary: The study developed an AO ALK/ULS system to enhance biological nitrogen removal in domestic wastewater with a low C/N ratio, with a real-time control strategy and a BPANN model used to optimize process control. The BPANN model effectively captured complex nonlinear relationships, enabling real-time dynamic response and process optimization control for treating low C/N domestic wastewater.
Article
Engineering, Environmental
Jordi Palatsi, Ferran Ripoll, Albert Benzal, Maite Pijuan, Maycoll Stiven Romero-Guiza
Summary: This paper presents the results of upgrading a full-scale WWTP using five different Advanced Process Control strategies over a seven-year period, which led to significant improvements in nutrient removal rates, energy efficiency, and economic feasibility. The implementation of APC resulted in enhanced nitrogen and phosphorus removal rates, reduced specific energy ratio, and economic benefits in the form of a relatively short return on capital expenses.
Article
Engineering, Environmental
Jiatong Dai, Yongzhen Peng, Jianhua Zhang, Liang Zhang
Summary: The study investigates the feasibility of enhancing anammox enrichment in sewage treatment through fixed biofilm. The results show that the fixed biofilm effectively maintained and enriched the anammox bacteria, benefiting the startup and steady operation of the sewage partial nitrification anammox (PNA) process.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Engineering, Environmental
Z. Amadou Yacouba, J. Mendret, G. Lesage, F. Zaviska, S. Brosillon
Summary: This study developed an innovative integrated membrane and oxidation system for domestic wastewater treatment, combining MBR, NF, and ozonation. The NF process effectively rejected selected organic micropollutants, while ozonation achieved successful degradation of various pharmaceuticals. Pre-ozonation significantly reduced NF fouling resistance.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Qiu Cheng, Zhan Chunhong, Li Qianglin
Summary: Small-scale distributed water treatment equipment, such as sequencing batch reactor (SBR), is widely used in rural domestic sewage treatment due to its advantages of rapid installation, low operation cost, and strong adaptability. However, constructing a simulation model for wastewater treatment is difficult due to the non-linearity and hysteresis characteristics of SBR process. In this study, a methodology was developed using artificial intelligence and automatic control system to save energy and reduce carbon emissions. The proposed methodology utilizes a random forest model to determine a suitable soft sensor for predicting COD trends.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Environmental
Yongkui Yang, Kyong-Ryong Kim, Rongrong Kou, Yipei Li, Jun Fu, Lin Zhao, Hongbo Liu
Summary: This study established a dynamic NARX model and a PCA-NARX hybrid model for predicting effluent quality in wastewater treatment plants. The performance was optimized, with the BR algorithm showing the highest performance among the four training algorithms for the NARX model. The dynamic PCA-NARX model was significantly superior to static models in modeling effluent quality.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Environmental Sciences
Fei Li, Zhong Su, Gonging Wang
Summary: The optimization control scheme based on dynamic multi-objective immune system has shown effectiveness in resolving conflicting performance indicators in wastewater treatment plants (WWTPs). By dividing the control process into dynamic and tracking control layers, adapting energy consumption and effluent quality models, and utilizing an adaptive dynamic immune optimization algorithm, the method successfully optimized complex and conflicting performance indicators. The competitive advantage of this method in control effectiveness was demonstrated through evaluation on a benchmark simulation platform.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
A. K. Maurya, B. S. Reddy, J. Theerthagiri, P. L. Narayana, C. H. Park, J. K. Hong, J-T Yeom, K. K. Cho, N. S. Reddy
Summary: This study explored the feasibility of using artificial neural networks to correlate biofilm reactor process parameters with absorption efficiency in handling industrial wastewater. The model predictions indicated that temperature and pH values are the most influential factors affecting absorption efficiency and turbidity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Review
Environmental Sciences
A. Babu Ponnusami, Sanyukta Sinha, Hridya Ashokan, Mathew Paul, Sai Prashant Hariharan, J. Arun, K. P. Gopinath, Quynh Hoang Le, Arivalagan Pugazhendhi
Summary: The complexity of wastewater poses a significant challenge to the successful degradation of pollutants in any wastewater treatment regime. Advanced Oxidation Processes (AOP) have emerged as a promising technique for treating industrial wastewater. However, the high operating cost remains a major obstacle for widespread industrial adoption of AOP. Combining biological processes with AOP can lead to sustainable degradation of toxic pollutants in wastewater, with the help of free radicals and the presence of bio-enzymes and microorganisms. This review discusses various AOP techniques, such as catalytic ozonation, electrochemical oxidation, Sono chemical, and photocatalytic processes, highlighting their potential for wastewater treatment and the production of high value by-products. Further research is needed to analyze the effects of AOP in conjunction with biological processes in real time, considering different concentrations of industrial wastewater, and exploring their potential benefits in achieving Sustainable Development Goals (SDGs).
ENVIRONMENTAL RESEARCH
(2023)
Article
Multidisciplinary Sciences
Tiankuang Zhou, Wei Wu, Jinzhi Zhang, Shaoliang Yu, Lu Fang
Summary: We propose a spatiotemporal photonic computing architecture to achieve dynamic processing, matching highly parallel spatial computing with high-speed temporal computing. A unified training framework is devised to optimize the physical system and the network model. The proposed architecture paves the way for ultrafast advanced machine vision and will find applications in unmanned systems, autonomous driving, ultrafast science, etc.
Article
Biotechnology & Applied Microbiology
Mpho Muloiwa, Megersa Dinka, Stephen Nyende-Byakika
Summary: The biological treatment process relies on microorganisms to remove organic and inorganic matter in wastewater. This study successfully modeled biomass growth using the Multilayer Perceptron Artificial Neural Network algorithm. Evaluation metrics showed good performance of the model, and sensitivity analysis identified temperature and dissolved oxygen concentration as the main drivers of biomass growth. The biomass growth model can be utilized by wastewater treatment plants to improve the removal of organic and inorganic matter.
ENGINEERING IN LIFE SCIENCES
(2023)
Article
Automation & Control Systems
Prince Kumar Rai, Vishav Kant, Rakesh Kumar Sharma, Ankur Gupta
Summary: The study aims to treat textile wastewater through an ultrasonic-assisted electrochemical process and optimize the parameters. The actual removal efficiencies of color, COD, and turbidity were found to be 97%, 66%, and 79% respectively at the optimal operating conditions. The statistical modeling validates that the artificial neural network model outperforms the response surface methodology model in predicting the removal efficiencies of color, COD, and turbidity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Environmental
Tuhin Kamilya, Abhradeep Majumder, Duduku Saidulu, Subhasish Tripathy, Ashok K. Gupta
Summary: In this study, a continuous system combining a moving bed biofilm reactor (MBBR) with a horizontal subsurface flow constructed wetland (HSSFCW) was used for the removal of chemical oxygen demand (COD), ammonia (NH4+), and paracetamol. The system showed high removal efficiency for these pollutants by adjusting the initial concentration, hydraulic retention time (HRT), and COD to NH4+ ratio (C/N ratio). Further analysis revealed that microbial degradation, plant uptake, and substrate adsorption were the dominant removal mechanisms in the system.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Jacopo Foschi, Andrea Turolla, Manuela Antonelli
Summary: This study evaluated black-box regression models as a modeling alternative for UV disinfection, synthesizing hydrodynamics, fluence rate, and inactivation kinetics. The two-part artificial neural network model showed the best predictive performance, handling non-linearities and a high proportion of null values in the dataset. The deployment of this model to control ultraviolet disinfection was simulated, estimating a plausible 63% energy saving.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Agricultural Engineering
Lijian Leng, Siyu Xu, Renfeng Liu, Ting Yu, Ximeng Zhuo, Songqi Leng, Qin Xiong, Huajun Huang
BIORESOURCE TECHNOLOGY
(2020)
Article
Multidisciplinary Sciences
Wen Liu, Tianpei He, Yonghong Wang, Ge Ning, Zhenggang Xu, Xiaoyong Chen, Xinjiang Hu, Yaohui Wu, Yunlin Zhao
SCIENTIFIC REPORTS
(2020)
Article
Environmental Sciences
Jiang Li, Xiaoxi Cai, Yunguo Liu, Yanling Gu, Hui Wang, Shaobo Liu, Simian Liu, Yicheng Yin, Sijia Liu
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2020)
Article
Environmental Sciences
Hui Wang, Yiming Zhou, Xinjiang Hu, Yuan Guo, Xiaoxi Cai, Chunjie Liu, Ping Wang, Yunguo Liu
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Chemistry, Physical
Jiangbo Xiong, Shuaiwei Chen, Jiaxin Wang, Yujie Wang, Xiaolin Fang, Huajun Huang
Summary: Hydrothermal carbonization is a promising technology for swine manure treatment, with higher phosphorus recovery compared to nitrogen and potassium. Treatment at 220-240 degrees Celsius is recommended for improved mobility and availability of nutrients. Using swine manure-derived hydrochar as organic fertilizer is safer and more effective.
Article
Environmental Sciences
Yu-jie Wang, Yi Yu, Hua-jun Huang, Cheng-long Yu, Han-sun Fang, Chun-huo Zhou, Xin Yin, Wei-hua Chen, Xin-chun Guo
Summary: This study investigated the microwave-assisted HTC of sewage sludge, finding that higher reaction temperature and time led to decreased hydrochar yield, while increasing solid-liquid ratio improved yield. The hydrochar products had higher aromaticity and carbonization degree compared to raw sludge, but caution is needed for total Zn and Cd contents. The use of CaO catalyst improved yield and passivated heavy metals, while H3PO4 enhanced soluble nutrient content but also increased migration of Zn and Cd.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Multidisciplinary
Xinjiang Hu, Daixi Zhou, Hui Wang, Wenlong Zhang, Haoxiang Zhong, Yongsheng Chen
Summary: Single atom catalysts (SACs) based on M1-Nx-Cy have emerged as a frontier research field in catalysis, offering high reactivity, maximum atomic utilization, and high selectivity. This review summarizes the fabrication methods of M1-Nx-Cy based SACs via support anchoring and coordination design strategies, characterizes single metal atoms, and discusses their environmental applications. The potential of M1-Nx-Cy based SACs to address current and future environmental pollution problems is emphasized.
CHINESE CHEMICAL LETTERS
(2023)
Article
Chemistry, Physical
Yu-Jie Wang, Nan Li, Guo-Rong Ni, Chun-Huo Zhou, Xin Yin, Hua-Jun Huang
Summary: This study explores the feasibility of recycling pomelo peel waste into hydrochar through microwave-assisted hydrothermal carbonization. The yield and properties of hydrochar were found to vary under different reaction conditions. The hydrochar derived from pomelo peel showed great potential for application in soil remediation and solid fuels.
Article
Engineering, Environmental
Yuanhao Ouyang, Honghui Jiang, Haoxiang Zhong, Guoyu Li, Xiaodong Ji, Qi Jin, Wei Xue, Xinjiang Hu, Mingshan Zhu
Summary: This study developed a g-C3N4 with N2C-type defects/MoO3 Z-scheme photocatalyst (D-CN/MoO3) for the degradation of microcystin (MC-LR) in visible light. The D-CN/MoO3 could photodegrade 100% of MC-LR within 25 min, which was significantly higher than pure g-C3N4. The degradation mechanism was found to be the selective attack of 1O2 on the Adda side chain of MC-LR and subsequent decarboxylation reaction of h+, leading to effective mineralization and reduced toxicity of MC-LR. The D-CN/MoO3 also demonstrated excellent stability and adaptability, showing potential for decontamination of MC-LR in eutrophic water.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Agronomy
Kailun Song, Shifei Liu, Guorong Ni, Qinlei Rong, Huajun Huang, Chunhuo Zhou, Xin Yin
Summary: Inoculating rumen microorganisms as inoculants can promote straw decomposition and returning to the field. The effects of soil moisture content on straw decomposition under rumen fluid-induced returning were investigated. The decomposition rate of straw showed a trend of first rising and then falling with an increase in soil moisture content. Treatments of 70% SMC with rumen fluid addition achieved the maximum rate of straw degradation. Rumen fluid favored the destruction of functional groups on the straw surface and the degradation of cellulose.
Review
Engineering, Environmental
Qianzhen Fang, Hailan Yang, Shujing Ye, Peng Zhang, Mingyang Dai, Xinjiang Hu, Yanling Gu, Xiaofei Tan
Summary: This review comprehensively discusses the generation pathways and identification methods of singlet oxygen (1O2) in catalysts/PMS systems. The generation pathways are summarized based on the inclusion of metal element in catalysts, while the influence of metal valence states and geometric structures on 1O2 generation is thoroughly discussed. Identification methods include EPR, quenching experiments, reaction in D2O solution, and chemical probe tests. Several perspectives for further studies on 1O2 in catalysts/PMS systems are proposed.
Article
Engineering, Environmental
Chenxi Huang, Meifang Li, Ping Wang, Shiyu Song, Beixia Chai, Meijuan Zhang, Xinjiang Hu, Jingju Cai, Shaohua Wu, Qingyun He
Summary: A novel nitrogen-doped magnetic graphene oxide confined Fe-Co dual single-atom catalyst was prepared by one-step molten salt assisted high-temperature pyrolysis. The catalyst showed significant removal efficiency for tetracycline and exhibited good separation and catalytic performance. The effects of key parameters on the degradation of tetracycline were investigated, and the catalytic potential in actual water and regeneration performance of the material were evaluated.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Engineering, Environmental
Qizhuo Liu, Xiaodong Ji, Jiaqin Deng, Honghui Jiang, Guoyu Li, Yuanhao Ouyang, Xin Li, Chunfang Tang, Xiaofei Tan, Xinjiang Hu
Summary: In this study, a high photocatalytic activity porous carbon nitride nanosheet was prepared using a simple pyrolysis technique. The nanosheet has a larger specific surface area and higher charge mobility, resulting in enhanced degradation efficiency of microcystin.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Engineering, Environmental
Jiaqin Deng, Ying Fang, Changlan Hou, Yanru Zhang, Meifang Li, Jianing Han, Wanxuan Du, Chunfang Tang, Xinjiang Hu
Summary: This study investigates the regeneration of spent biochar adsorbent and the degradation of adsorbed PFOA using ultrasonic assisted activation of persulfate. The results demonstrate that PFOA can be efficiently degraded by the synergistic effect of ultrasound and persulfate.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Metallurgy & Metallurgical Engineering
Wang Jia-xin, Liu Ping, Lai Fa-ying, Huang Hua-jun
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2020)
Article
Ecology
Alexander M. Cancelli, Frank A. P. C. Gobas
Summary: A mechanistic model was developed to assess the removal efficiency of pollutants in a wetland system, particularly in oil sands process-affected water (OSPW). The model simulated wetland mechanisms of chemical removal and showed that sustained wetland treatment is feasible. It is a helpful tool to evaluate the feasibility of treatment systems and to assess trade-offs in wetland design and operation.
ECOLOGICAL ENGINEERING
(2024)
Article
Ecology
Prakash Singh Thapa, Hiromu Daimaru, Seiji Yanai
Summary: This study assessed the vegetation recovery and erosion condition in a landslide area in central Japan. The results show that the upper slope, where reforestation activities were implemented, has seen significant vegetation recovery and no significant erosion, while the lower slope lacks vegetation and has experienced continued erosion.
ECOLOGICAL ENGINEERING
(2024)
Article
Ecology
Mike Jerauld, Forrest Dierberg, Thomas DeBusk, Scott Jackson, Kevin Grace, John Juston
Summary: The Everglades Stormwater Treatment Areas (STAs) are constructed wetlands built to remove phosphorus (P) from agricultural and urban runoff in support of Everglades restoration. Research shows that the levels of calcium (Ca) and alkalinity (Alk) have an impact on phosphorus removal in these wetlands.
ECOLOGICAL ENGINEERING
(2024)
Article
Ecology
Kalindhi Larios, Stefan Gerber, Rafael Munoz-Carpena, Patrick Inglett, K. Ramesh Reddy, Michael Chimney
Summary: This study modeled the phosphorus biogeochemical dynamics in one of the best performing Everglades treatment wetlands and found that the complexity of the hydrological system significantly affected the simulated water column P concentration. The modeling tool developed in this study can guide future data collection and optimization efforts for treatment wetlands in the Everglades.
ECOLOGICAL ENGINEERING
(2024)
Article
Ecology
Jing Hu, Benjamin Baiser, R. Thomas James, K. Ramesh Reddy
Summary: This study examined the long-term phosphorus retention in Stormwater Treatment Areas (STAs) and identified the factors influencing their performance. The results showed that the operational performance of STAs improved over time. There were notable differences among individual STAs, with the co-precipitation of phosphorus with calcium playing a critical role in one of the STAs. This highlights the complexity of phosphorus removal in STAs and the need for site-specific management strategies.
ECOLOGICAL ENGINEERING
(2024)
Article
Ecology
Odi Villapando, K. R. Reddy, J. King
Summary: The biogeochemical response to different flow conditions within two parallel flow-ways in Everglades Stormwater Treatment Area (STA)-2 was studied. It was found that there was a gradual decrease in the total phosphorus (TP) concentration from inflow to outflow for both emergent aquatic vegetation (EAV) and submerged aquatic vegetation (SAV) dominated systems, with EAV showing a higher reduction rate. Significant increase in TP concentration was observed in the SAV system under no flow condition, possibly due to the production of particulate phosphorus (PP) through various mechanisms.
ECOLOGICAL ENGINEERING
(2024)
